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@@ -10,8 +10,8 @@ A roberta-base-squad2 extractive Question Answering model fine-tuned on the SQuA
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  - πŸ” Fine-tuned on SQuAD v2.0 (or your custom QA dataset)
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  - ⚑ Supports extractive question answering finds precise answers from context passages
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  - πŸ’Ύ Suitable for real-time inference with minimal latency on both CPU and GPU
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- -πŸ› οΈ Easily integrable into web apps, enterprise tools, and virtual assistants
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- -πŸ”’ Handles unanswerable questions gracefully with no-answer detection (if trained on SQuAD v2)
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  ---
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  - πŸ” Fine-tuned on SQuAD v2.0 (or your custom QA dataset)
11
  - ⚑ Supports extractive question answering finds precise answers from context passages
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  - πŸ’Ύ Suitable for real-time inference with minimal latency on both CPU and GPU
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+ - πŸ› οΈ Easily integrable into web apps, enterprise tools, and virtual assistants
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+ - πŸ”’ Handles unanswerable questions gracefully with no-answer detection (if trained on SQuAD v2)
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  ---
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